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2.2. Motive techno forces shaping evolution processes in ICT - Microprocessors - Photonics. A. Moore’s Law - PowerPoint PPT Presentation
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2.2. Motive techno forces shaping evolution processes in ICT - Microprocessors - Photonics
A. Moore’s Law
Gordon E. Moore, 1965. "Cramming more components onto integrated circuits," Electronics, volume 38, number 8 (19 April), at http://www.intel.com/research/silicon/moorespaper.pdf
• Exponential increase in the number of components on a chip • Doubling of number of transistors on a chip every 18 months (1980s) • Doubling of microprocessor power every 18 months (1990s) • Computing power at fixed cost is doubling every 18 months (1990s)
Throughput of integrated circuits, in MIPS, will doubled every 18 months with cost of decrease by 50%, and this regularity will remain correct for several decades. (MIPS -millions of instructions per second)
• Reliability• Power consumption • Miniaturization (number of transistors per chip) • Terminal devices in the single chips
A. Moore‘s Law (Cntd)
108
107
106
105
1011
1010
103
104
109
199019801970 2000 2010
Tra
nsi
sto
rs p
er C
hip
Intel Motorola
DRAMs
Processors
64M
256M
1G
4G
16G
64G
1M4M
16M
64k256k
1k4k
16k
4004
808680286
80386
i486 PentiumPentium Pro
PPC 620Pentium IIPentium III
Sou
rce
: S
iem
en
s IC
N
6 days music
4 h video
2.000.000 pages
1947: 1000 MW
Pentium IV
2020
1012
We can store and process all information.
30 min. music
256G1T
McKinleyItanium (Merced)
A. Moore‘s Law (Cntd)
•1988 - 275,000 transistors on the Intel 80386 chips in to •1992 - 1.4 million transistors on the 80486 SL chipsPentium, Pentium Pro and Pentium II processor families•1999 - 28 million transistors (Intel Pentium III Xeon and Mobile Pentium III processors)•2001 - 42 million transistors (Pentium 4)
Evolution of Computer Power/Cost Brainpower Equivalent (computing power of the human brain) per $ 1000 (around 2030)
1900 1920 1940 1960 1980 2000 2020
Year1
Bio
1
Mio
1
1000
1
1000
MIPS per $1000 (1997 Dollars)
Monroe Calculator
IBM Tabulator
Burroughs Class 16Zuse-1
ASCC (Mark 1)
IBM 650IBM 1620
Colossus
ENIACUNIVAC I
Burroughs 5000IBM 7040
IBM 350/75SDS 920DG NovaDEC-KL-10DEC VAX 11/780
VAX 11/750
Sun-3
IBM PS/290
AT&T Globalyst 600
Power Tower 150e
IBM 704Whirlwind
IBM 7090IBM 1130
DEC PDP-10CDC 7600
DG EclipseApple II
Sun-2
IBM PCCommodore
64
Macintosh-128K Mac II
Gateway-485DX2/55
PowerMac 8100/80Gateway G6-200
2040
150 000 DM
1973 1977 1981 1984 1987 1991 1995
10 000 DM
800 DM
240 DM
10 DM
60 DM
1 DM
1999 2005 2009 20172013
3 Cent1 Cent
O,5 Cent 0,1 Cent
26 Pfennig
History Forecast
1 gu
mm
i bea
r
1 sh
eet o
f pap
er
1 po
st it
1 pa
perc
lip
Prices of 1 Mbit DRAM
Expensive functions and applications today will be cheap tomorrow.
Source: acc. to Weick, Manfred, ZT IK MK
2002
5 Cent
1 ch
ewin
g gu
m
B. Photonic technologies
Fiber optic cables for long-haul networks – beginning of 70-th
Main directions of FOC development:
• The transition from multimode to single mode fiber
• Wavelength changing of the applied spectral windows with =0,85 mkm to =1,33/1,55 mkm
• The decrease of attenuation in the fiber from figures of several dozens of dB/km to 0,2 dB/km
Photonic technologies (Cntd)
# Main requirements – grows of network capacity
# Boom growth of traffic, especially data
# Number of factors:• Accelerated development of the Internet• Commercial applications of graphic and video information exchange • The growth of worldwide business, which leads to the growth of worldwide traffic
# New technologies for photonic networks
SDHD/WDM
Tbits/s
Performance improvements in photonics
Year1975 1985 1995 2005 2015
+70 % p.a.
40´10 G
Theoretical limit of glass fiber
102
104
106
108
1010
16´2.5 G10 G
2.5 G
565 M
140 M34 M
Experiment:7 Tbit/s, 50 km
Product160x10G; 80 km
+100 % p.a.
Fiber CapacityMbit/s*km
Sou
rce:
ICN
M T
A: P
hoto
nics
2.3. Mega trends on ICT
- Digitalization - Mobile communications - Internet - Convergence of services/networks/devices - Main shifts on ICT
Telephony IP Apps
Circuit based
Packet based
TODAY TOMORROW
Mobile
Wireline
Connectionless
Connections
Mobile Packet based Connectionless
IP AppsTelephony
ConnectionsCircuit based Wireline
•Analog Digital Fixed Mobile Voice Data
CONVERGENCE
Main shifts on ICT
Grows of subscribers
2002: Fixed = Mobile 1,15 Billion
Grows: Fixed –2%, Mobile – 10% (ITU)
A. Digitalization
Digitalization of:
• Information
• Information processing tools
• Transportation systems
Transition from analog to digital format
• Analog networks - separate
• Integrated networks - digital
• Convergence in ICT
B. Mobile communications
Grows of fixed and mobile and distribution by technology
Grows of fixed and mobile subscribers
Ovum
Limitations of 2G systems
Evolution of mobile communications
Brief History of the Internet•1957– Launch of Sputnik is impetus for U.S. to form ARPA (DoD)•1965 – ARPA sponsors a study “Cooperative network for time-sharing”; Innovation of packet switching (D. Devis, UK, P. Baran, US)• 1969 – September 2, launch of first computer network ARPANET • 1972 – Beginning of E-mail (Tomlinson, US)• 1974 – First article about TCP/IP (Cerf/Kahn)•1979 – Establishing first research computer network (NSF, Univ. Wisc., DARPA)
C. Internet
Brief History of the Internet (Cntd) •1982 – Internet defined as TCP/IP-connected network•1986 – 56 kb/s NSFNET created for 5 supercomputing centers• 1989 – Number of Internet nodes breaks 100 000; IETF comes into existence• 1992 – WWW released; Number of nodes breaks 1M• 1995 – Internet Society was founded VoIP comes to the market
• 2001 – Number of hosts breaks 300M
• 2002 – VoIP has taken away 13% of long-haul telephone traffic
The Internet timeline
1965 1970 1975 1980 1985 1990 1995 2000 2005
Military/Academic AppsCommercial
Apps
Number of hostsNumber of users
Reasons for grows:•Windows•Modems•Searching tools•HTL
Internet grows without any signs of recession
Forecast of the global voice/data traffic’s growth
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
1
2
3
4
5
6
Total telephone traffic International telephone traffic Data traffic
Tbps
Source: Arthur D. Little, 1999
24
20.1
0
5
10
15
20
25
FixedData
Fixedtelephony
Mobile
Tra
ffic V
olu
me (
Tb
ps)
European carriers’ revenues
Source: IDATE, Mar 2000
2004, Total USD $295 billion
Fixed Data10%
European carrier’s traffic
Other13%
Fixed telephony39%
Mobile services
38%
Source: Blended from IDC, ECTA, & Operators
Where traffic comes from in 2004
Today´s realities
Fixed Data Services Comprise a Smaller Proportion of Income
but Represent the Largest Proportion of Traffic
Total U.S. Internet traffic
1970 1975 1980 1985 1990 1995 2000 2005 2010
Voice Crossover: August 2000
4/Year
2.8/Year
1Gbps
1Tbps
10Tbps
100Gbps
10Gbps
100Tbps
100Mbps
1Kbps
1Mbps
10Mbps
100Kbps
10Kbps
100 bps
1 Pbps
100 Pbps
10 Pbps
10 bps10 bps
ARPA & NSF Data to 1996
New Measurements
Projected at 4/Year
Source: Roberts et al., 2001
Some issues of Internet traffic
• Most traffic is from corporations (80% estimated)– Main growth is from corporations
– “Last mile” has been improving rapidly (100–1000 Mbps)
– Corporate traffic is anti-recessionary
• Move from private networks to Internet for cost reduction (VPN)
- Corporate Internet use hit critical mass in 2000
•Now need to use the Internet for all business
•Inter-corporate traffic is now mainly over the Internet
•Intra-corporate traffic is growing in size (E-mail documents)
- Personal traffic is growing but broadband deployment is slow
- Internationally, traffic is still at the pre-2000 growth rate of 2.8/year
Some issues of Internet traffic (Cntd)
Time to reach 50 mio customers
120
100
80
60
40
20
01922 1950 1980 1995
RadioRadio(40 (40 Years)Years)
TVTV(15 (15 Years)Years)
CableCable(10 (10 Years)Years) ComputerComputer
InternetInternet(<5 (<5 Years)Years)
Mobile PhoneMobile Phone
TelephoneTelephone(90 Years)(90 Years)
mil
lio
ns
of
cu
sto
me
rs
Products have an accelerated market penetration.
Penetration rates of services (US market)
NapsterNapster18 months18 months
Penetration (in %%) of different technologies and devices
Mobilepenetration
Internet penetration
PC penetration
Broadband Penetration
USA
Europe
Asia
36 50-60 40 5-10
20 40 70 << 5
17 <5 <30 <<<5
Source: Cisco, 2002
Mobile vs. fixed Internet penetration in Europe
Source: Siemens
Mobile and Internet penetration in Western European countries (YE 2000)
(Fixed) Internet penetration (in %)
Mo
bile
pen
etra
tio
n (
in %
)
0% 10% 20% 30% 40%
CH
FIN
SWE
GRE
POR
ITA AUTNOR
LUXNLSPA
IRL
FRA
BEL
GER
UK DK
50%
50%
60%
70%
80%
40%
D. Convergence of networks/services/devices
United Network
Telephony IP Apps
Circuit based
Packet based
TODAY TOMORROW
Mobile
Wireline
Connectionless
Connections
Mobile Packet based Connectionless
IP AppsTelephony
ConnectionsCircuit based Wireline
•Analog Digital Fixed Mobile Voice Data
CONVERGENCE
Main shifts on ICT
Main shifts on ICT (Cntd)
Telephones, PCs, TVs
Flat networks with distance-independent tariffs
Voice/data on networksData, then MM dominates on networks
Proprietary and specialized networking
Totally open and interoperable networks
Global network of networks
Dedicated applications
High tariffs for long-distance service
TODAY TOMMOROW
Multifunctional devices with network interfaces
Apps designed for universal and independent using
PSTN and Internet are separated
# Market downturn in 2001 - Manufacturers‘ sales
CSFB
-15%
-25%DeutscheBank and
2.4. Crisis in IC sectorA. Manufacturers
Revenue Manufacturers in 2000 and 2001
Turnover (Billion Euro)
2000 2001
40
35
30
25
20
15
10
5
0
Siemens I and CNokia
AlcatelEricsson
Nortel
LucentCisco
Change comparedto previous year
+ 8%+ 3%
- 19%- 15%
- 42%
- 22%- 24%
Marconi - 12%
0
5
10
15
20
25
30
35
40
Source: CD S C
Manufacturers EBITA in 2000 and 2001
EBITA (Billion Euro)
Nokia
Alcatel
Ericsson
Nortel
Lucent
Cisco
Marconi
Siemens I and C
-30
-25
-20
-15
-10
-5
0
5
-20
-25
-30
-15
-10
- 5
0
5
2000 2001
1st tier
2nd tier
3rd tier
Market downturn in 2001 - Carrier spending
CSFB
-15%
-25%
- 6%
- 23%
16%
Source: JPMorganNote: Source for 2001-2003 capex spending estimates is JPMorgan
Carrier Spending, Actual Versus Normalized
0.01995 1996 1997 1998 1999 2000 2001E 2002E 2003E
20.0
40.0
60.0
80.0
100.0
120.0
$ Billion
CapEx, Top 15 Carriers
Normalized Spending
B. Operators
Excessive growth slowed and dropped in following three areas:
• Internet • E-business• Mobile phone euphoria
• The Internet boom hadn’t to pass the reality checking • E-business didn’t gain speed as quickly as anticipated.
• The mobile phone euphoria came to naught
540560 570
550
500
430
290 290 280260
250 240 240220
190
20 23 25 30 30 28 22
346
160
280260
170 250
0
100
200
300
400
500
600
1999 2000 2001 2002 2003 2004 2005
Op
era
tors
‘ net
de
bt
Year
$bn
Source: GS II/01
Total
Europe
USA
Asia Pacific
Operators’ debts increase and reduce free cash flow
Projection
C. Basis for huge losses - manias
Growth-mania
Acquisition-mania
1. Growth maniaOver a number of years, growth was the exclusive criterion for measuring success in the so-called New-Economy.
2. Acquisition maniaCompanies in particular paid outrageously overvalued prices for acquisitions. This resulted in wildly overvalued companies and share prices.
dot.com-mania
Financing-mania
3. Dot.com maniaTill March 2000 we have seen a wholly irrational run-up in share prices, particularly for I and C start-ups. The successful guideline was: “Earn revenues from banners and from clicks.”
4. Financing maniaThe fourth major factor was that growth wasn’t earned, but bought. Many companies delivered products and systems to customers according to the motto “volume is everything” - without reasonably checking if they were viable or credible.
Basis for huge losses – manias(Cntd)
Global MM-MSnetwork
Global MM-MSnetwork
After 2010 all information will be digitally stored and sent via the global network.
Concluding remarks